Evidence map›Paper›PMID 32929221›Full record

ReviewExperimental & molecular medicine2020

Single-cell sequencing techniques from individual to multiomics analyses.

Yukie Kashima, Yoshitaka Sakamoto, Keiya Kaneko, Masahide Seki, Yutaka Suzuki, Ayako Suzuki

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

160 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Development of infrared desolvation device for single cell element analysis using droplet sample injection inductively coupled plasma spectrometry.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  9. Article
  10. Article
  11. Microbial medicines: Unlocking the therapeutic potential of the microbiome in cancer treatment.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Application of single-cell RNA sequencing in preeclampsia.Frontiers in global women's health · 2026
    Review
  19. Article
  20. Article

100 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yukie KashimaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Yoshitaka SakamotoDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Keiya KanekoDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Masahide SekiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.
Ayako SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan. asuzuki@edu.k.u-tokyo.ac.jp.

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 16H06279MEXT | Japan Society for the Promotion of Science (JSPS) 17H06306
6 · The paper itself

Abstract

Here, we review single-cell sequencing techniques for individual and multiomics profiling in single cells. We mainly describe single-cell genomic, epigenomic, and transcriptomic methods, and examples of their applications. For the integration of multilayered data sets, such as the transcriptome data derived from single-cell RNA sequencing and chromatin accessibility data derived from single-cell ATAC-seq, there are several computational integration methods. We also describe single-cell experimental methods for the simultaneous measurement of two or more omics layers. We can achieve a detailed understanding of the basic molecular profiles and those associated with disease in each cell by utilizing a large number of single-cell sequencing techniques and the accumulated data sets.

Indexed as

High-Throughput Nucleotide SequencingAnimalsComputational BiologyEpigenomicsGene Expression ProfilingGenetic HeterogeneityGenomicsHumansProteomicsReproducibility of ResultsSingle-Cell AnalysisTranscriptome

Identifiers

PMID32929221
PMCPMC8080663

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.